SOTAVerified

Scheduling

Project or Job Scheduling

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2151–2200 of 3104 papers

TitleStatusHype
Online learning of windmill time series using Long Short-term Cognitive Networks—0
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope—0
Decision making with dynamic probabilistic forecasts—0
Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem—0
Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting—0
Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach—0
Privacy Budget SchedulingCode1
Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles—0
A Fast Graph Kernel Based Classification Method for Wireless Link Scheduling on Riemannian Manifold—0
Coordinated Scheduling of Electric Vehicles Within Zero Carbon Emission Hybrid AC/DC Microgrids—0
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer NodesCode0
DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS—0
Minimizing Delay in Network Function Visualization with Quantum Computing—0
AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral TransformationsCode1
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication—0
Generalizing Adversarial Training to Composite Semantic Perturbations—0
A deep generative model for probabilistic energy forecasting in power systems: normalizing flowsCode1
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks—0
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning—0
An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem—0
ChaCha for Online AutoMLCode2
Recovering AES Keys with a Deep Cold Boot Attack—0
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on GraphsCode1
A Case Study: Using Genetic Algorithm for Job Scheduling Problem—0
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback—0
Coarse-to-Fine Curriculum Learning—0
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learningCode1
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Joint Scheduling and Throughput Maximization in Self-backhauled Millimeter Wave Cellular Networks—0
Decentralised Approach for Multi Agent Path Finding—0
Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling—0
Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning—0
AIRIS: Artificial Intelligence Enhanced Signal Processing in Reconfigurable Intelligent Surface Communications—0
Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks—0
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints—0
Scheduling Jobs with Stochastic Holding CostsCode0
Wireless Link Scheduling via Interference-aware Symmetric Positive Definite Connectivity Manifolds—0
Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems—0
An Online Learning Approach to Optimizing Time-Varying Costs of AoI—0
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems—0
TENSILE: A Tensor granularity dynamic GPU memory scheduling method toward multiple dynamic workloads system—0
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators—0
Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos—0
Structured Convolutional Kernel Networks for Airline Crew SchedulingCode0
Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications—0
A Low-Delay MAC for IoT Applications: Decentralized Optimal Scheduling of Queues without Explicit State Information Sharing—0
Managing HILP Consequences Using Dynamic Distribution System Asset Assessment—0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
Show:102550
← PrevPage 44 of 63Next →

No leaderboard results yet.